{"adoption": {"forks": 151, "observed_at": "2026-08-28T04:03:57.272629+00:00", "stars": 1196}, "canonical_url": "https://ross.abutalabs.com/products/alpasim", "card": {"archived": false, "artifact_type": "library", "description": "AlpaSim is an open-source autonomous vehicle simulation platform designed for development and testing of end-to-end AV policies", "domain": ["autonomous-vehicles", "simulation", "robotics", "computer-vision", "machine-learning"], "enriched": true, "function": ["simulation", "machine-learning", "computer-vision", "robotics", "benchmarking", "testing"], "health_score": 99, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["NVlabs/alpasim"], "name": "NVlabs/alpasim", "platform": ["python"], "pushed_at": "2026-08-24T14:44:08+00:00", "repo": "NVlabs/alpasim", "stars": 1196, "tags": ["autonomous-driving", "closed-loop-simulation", "end-to-end-driving", "neural-reconstruction", "sensor-simulation", "self-driving-car", "grpc", "microservices", "nvidia", "research", "linux", "docker", "gpu"], "topics": ["autonomous-driving", "autonomous-vehicles", "closed-loop-simulation", "computer-vision", "end-to-end-driving", "neural-reconstruction", "nurec", "nvidia", "physical-ai", "robotics", "self-driving-car", "simulation", "simulator", "av-simulation"], "urls": [], "use_cases": ["test end-to-end autonomous driving policies in closed-loop simulation", "validate new self-driving algorithms in realistic environments", "run safety analysis on edge cases and challenging driving scenarios", "benchmark and regression-test different driving models", "debug complex autonomous driving behaviors", "simulate realistic camera sensor data with neural reconstruction"], "what_it_is": "AlpaSim is an open-source, Python-based autonomous vehicle simulation platform for developing and testing end-to-end AV policies in closed loop. It simulates realistic sensor data (via neural renderers like NuRec), vehicle dynamics, and traffic scenarios in a modular, horizontally scalable microservices architecture.", "when_to_avoid": ["you need a production-grade commercial AV validation toolchain with certification support", "you require non-camera sensors like lidar or radar simulation out of the box", "you want a lightweight game-engine-style driving simulator for casual use rather than ML research"], "when_to_choose": ["you need closed-loop evaluation of end-to-end AV driving policies", "you want high-fidelity, neural-reconstruction-based camera sensor simulation", "you need a hackable Python research testbed with swappable components", "you want to benchmark policies like Alpamayo, VaVAM, or Transfuser"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/alpasim", "repo": "NVlabs/alpasim", "role": "main", "score": 75}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:57.272629+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:22:00.884240+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6b27310152ab7603263a35dff29fee84a94560d9deb8305453381747041689cb", "fetched_at": "2026-08-28T04:03:57.272629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/alpasim"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 23, "rhythm": 75}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 334, "days_push": 9, "days_rel": 91, "gap_med": 40, "n_releases_24m": 2}, "score": 75, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}